Determining a post-processing configuration for post-processing output data from a pipeline

Abstract

A system may configure a pipeline for a target device. The pipeline may include a signal processing component and a machine learning component. The pipeline may be configured to receive input data and generate output data based on the input data. For example, the output data may indicate detections in an output stream based on events in the input data in an input stream. The system may determine multiple post-processing configurations for post-processing the output data. A post-processing configuration may be configured to generate a detectable event based on the output data. The multiple post-processing configurations may be generated using a multi-objective optimization that varies one or more parameters for generating the detectable event.

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